Water is essential for global water cycle. This natural wealth is invaluable. Water is used for
drinking, making food, to make a living, and to maintain good health. The life quality of the …

Accurate crop yield predictions are crucial for farmers and policymakers. Despite the
widespread use of ensemble machine learning (ML) models in computer science, their …

Harmful and nuisance algal blooms are becoming a greater concern to public health,
riverine ecosystems, and recreational uses of inland waterways. Algal bloom proliferation …

The combination of a low-density geochemical survey, multispectral data obtained with
Unmanned Aerial Vehicle-Remote Sensing (UAV-RS), and a machine learning technique …

The integration of remote sensing and machine learning in agriculture is transforming the
industry by providing insights and predictions through data analysis. This combination leads …

Crop classification plays a vital role in felicitating agriculture statistics to the state and
national government in decision-making. In recent years, due to advancements in remote …

Wheat Fusarium head blight (FHB) poses a significant threat to wheat quality and yield.
However, accurately identifying the disease in wheat ears remains challenging due to …

In the remote sensing discrimination of tree species, the use of multi-temporal images may
considerably improve the accuracy of recognising tree species. This study aimed to explore …

Globally, the process of urbanization is transforming land use and, as a consequence,
reducing the efficiency of ecosystem services (ESs), which ensure a healthy and comfortable …

Winter plants acclimate to frost mainly during the autumn months, through the process of
cold acclimation. Global climate change is causing changes in weather patterns such as the …